CRISPR/Cas9 screen uncovers functional translation of cryptic lncRNA-encoded open reading frames in human cancer

Caishang Zheng1, Yanjun Wei1, Peng Zhang1

  • 1Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Insights

Cryptic proteins from long noncoding RNAs (lncRNAs) drive estrogen receptor-positive breast cancer. Targeting these "hidden" proteins offers new therapeutic strategies for cancer treatment.

Area of Science:

  • Genomics
  • Cancer Biology
  • Molecular Biology

Background:

  • Long noncoding RNAs (lncRNAs) can undergo cryptic translation, producing novel proteins.
  • The role of lncRNA-derived proteins in complex diseases like cancer is largely unknown.
  • Estrogen receptor-positive (ER+) breast cancer (BC) is a major subtype with complex regulatory networks.

Purpose of the Study:

  • To investigate the role of cryptic lncRNA translation in ER+ breast cancer.
  • To identify novel therapeutic targets within the lncRNA-encoded proteome.

Main Methods:

  • Integrative strategy combining ribosome profiling and CRISPR/Cas9 screening.
  • Large-scale analysis of molecular and clinical data for breast cancer.
  • In vivo validation of protein function and interaction studies.

Main Results:

  • Identified ER+ BC dependency on cryptic open reading frames (ORFs) from lncRNAs upregulated in luminal tumors.
  • Confirmed tumor-promoting function of GATA3-interacting cryptic protein (GT3-INCP) encoded by LINC00992, linked to poor prognosis.
  • GT3-INCP, regulated by estrogen/ER, interacts with GATA3 to co-regulate BC susceptibility genes (e.g., MYB, PDZK1), impacting estrogen response and cell proliferation.

Conclusions:

  • Cryptic lncRNA-encoded proteins are integral to cancer's master transcriptional regulatory networks.
  • The lncRNA-encoded proteome represents a novel frontier for cancer therapeutic target discovery.

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